Titlebook: Statistical Learning of Complex Data; Francesca Greselin,Laura Deldossi,Maurizio Vichi Conference proceedings 2019 Springer Nature Switzer

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Cluster Weighted Beta Regression: A Simulation Studyortions, concentrations, that is to continuous values in the unit interval, beta regression may be the appropriate choice. In the presence of unobserved heterogeneity, for example when the population of interest is composed by different subgroups, finite mixture of beta regression models could be us

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Detecting Wine Adulterations Employing Robust Mixture of Factor Analyzersalue chain, need to receive exact information about the specific product they are commercing with. To ascertain varietal genuineness and distinguish potentially doctored food, in this paper we propose to employ a robust mixture estimation method. Particularly, in a wine authenticity framework with u

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Simultaneous Supervised and Unsupervised Classification Modeling for Assessing Cluster Analysis and ns of inferential tools denote important limitations that could negatively influence the reliability of the final results. In this work, we propose to combine unsupervised classification with supervised methods in order to enhance the assessment and interpretation of the obtained partition. In parti

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Community Structure in Co-authorship Networks: The Case of Italian Statisticiansmethods is not a simple task. This paper shows exploratory results by adopting two well-known community detection methods and a new proposal to discover groups of scientists in the co-authorship network of Italian academic statisticians.

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Analyzing Consumers’ Behavior in Brand Switchingbased on the singular value decomposition, represents asymmetric relationships among brands in the brand switching by introducing the outward tendency which corresponds to the left singular vector and the inward tendency which corresponds to the right singular vector. The resulting configuration is

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